IN THIS ARTICLE
What is PIX4Dcatch?
Where can I download the PIX4Dcatch app?
What is the difference between PIX4Dcapture and PIX4Dcatch?
Which operating system is supported by PIX4Dcatch?
Can PIX4Dcatch be used without an Internet connection?
What are the recommended devices?
Does PIX4Dcatch app utilize the LiDAR data obtained from the device during processing?
How does PIX4Dcatch utilize the LiDAR data in processing?
What is the accuracy of the reconstruction?
How can I get RTK geotags on mobile images?
How can I purchase the viDoc RTK Rover
Can I include GCPs into my PIX4Dcatch project?
How can I merge drone images with my PIX4Dcatch dataset?
How to enable the Compass Calibration service?
Can I access the raw or native images directly in my app?
Can I export images from the app?
Can I directly upload images to PIX4Dcloud for processing using the app?
Does the PIX4Dcatch process the 3D model directly on the mobile device?
In which languages is PIX4Dcatch available?
What is the cost of PIX4Dcatch?
How can I get technical support for PIX4Dcatch?
Where can I submit the product feedback and feature requests?
PIX4Dcatch is a mobile application for ground 3D scans from android and iOS devices. PIX4Dcatch allows anyone to easily acquire the right terrestrial data for digitizing the reality around them and turning it into accurate 3D models.
PIX4Dcapture is the flight planning and image acquisition app for aerial imaging, whereas PIX4Dcatch is a mobile application for ground 3D scans using iOS or Android devices.
PIX4Dcatch is currently supported on a device that runs on iOS version 13.4 or higher or on Android version 9 or higher.
An internet connection is needed every time the application is started for logging into the app. Once the login is complete, the internet connection is not necessary for capturing data.
However, the internet is needed to upload the data to PIX4Dcloud for generating the 3D model.
If using a viDoc RTK rover, you need an internet connection during data capture to stay connected to the NTRIP service.
|PIX4Dcatch only||PIX4Dcatch with LiDAR||PIX4Dcatch with viDoc RTK rover|
|Android||Any Android device with ARCore capability.||Not supported||Not supported|
|iOS||Any Apple iPhone or iPad device (iOS 13.4.1 minimum):
iPad Air (2nd, 3rd generation),
|iPad Pro 2020,
iPhone 12 Pro,
iPhone 12 Pro Max
|iPad Pro 2020 (11 inch),
iPhone 12 Pro,
iPhone 12 Pro Max,
*The viDoc RTK rover is also supported on the iPhone 11 and iPhone XR. However, the phone cases need to be purchased separately from the SP-connect website.
PIX4Dcatch (iOS version) uses the LiDAR to capture the depth information of the surrounding during the image acquisition. The LiDAR points will compensate for the lack of 3D points over reflective and low texture surfaces.
PIX4Dcatch (Android version) doesn't use depth data while processing.
The option to upload the depth information is only available on the device (Apple iPad Pro 2020, iPhone 12 Pro, iPhone 12 Pro Max, and other iOS devices) with the LiDAR. While processing the exported project using PIX4Dmapper, the depth information will not be used. So, to use the depth data while processing, the project should be directly uploaded from the PIX4Dcatch app to the PIX4Dcloud. For more information visit, How to process the PIX4Dcatch project with the depth information.
During the image acquisition, the LiDAR sensor has the following benefits:
- real-time feedback generated by the LiDAR sensor during capture guides you on the coverage of your area of interest
- it also fine-tunes the positioning and pose information that automatically triggers the images
- it helps in locating the project in the real world when compared to the device’s internal GPS that only gives a rough estimate.
If you use a LiDAR enabled iOS device, and choose to upload your project with the “Process with depth” enabled, the LiDAR data is used directly in two ways:
- To estimate a more accurate scale of the reconstruction and
- To fill low texture areas that photogrammetry alone is not able to reconstruct.
It is important to note that visible features are still needed in all the images, even if the LiDAR data is used.
For example, please check out these two projects: project processed without LiDAR and project processed with LiDAR. Notice the holes in the point cloud of the project processed without the LiDAR and see how these holes are filled out in the project processed with the LiDAR. Particularly, in areas that photogrammetry is unable to create “tie points”, it takes the help of the LiDAR data to fill those areas.
The absolute geolocation accuracy depends on how you georeference the images and if GCPs are used in the project or not.
- With the integrated (phone) GNSS sensor, the absolute accuracy is expected to be a few meters.
- With the viDoc RTK Rover, the absolute accuracy can be in the range of a few centimeters. For more information see How to use PIX4Dcatch with viDoc RTK rover article.
- When GCPs are used, the absolute accuracy is expected to be in the range of the GCP errors.
Research has revealed that it is possible to achieve 3D models with an absolute geolocation accuracy of less than 5 cm. For more information see the white paper.
The relative accuracy of the reconstruction is expected to be in the range of 1 - 3 times Ground Sampling Distance (GSD). More in the What is the relative and absolute accuracy of mapping article.
You need to download the PIX4Dcatch iOS app on your iPhone or iPad and purchase the viDoc RTK rover.
Since the RTK corrections are transferred via an NTRIP service, you will also need a subscription to an NTRIP service corresponding to your location.
When connecting the PIX4Dcatch app to the viDoc RTK rover via Bluetooth, the images are automatically geotagged with the accurate positions from the rover.
More information in the How to use PIX4Dcatch with viDoc RTK rover article.
Contact us directly for the purchase of the viDoc RTK rover.
GCPs can be integrated into your PIX4Dcatch project by exporting the images and processing them in PIX4Dmapper or PIX4Dcloud with your GCPs. More information at How to include GCPs into a PIX4Dcatch project.
A possible workflow is to combine PIX4Dcatch image data without the LiDAR information and drone data into PIX4Dmapper. Manual Tie Points can be used to merge the two projects together. More information about how to process such datasets in the How to merge projects article.
To get a more accurate orientation in PIX4Dcatch on iOS, the Compass Calibration must be enabled:
- Click on the Settings icon.
- Select Privacy.
- Select Location Services.
- Select System Services.
- Turn Compass Calibration ON.
Images captured can be accessed by every (logged-in) user. This means that every user with a PIX4D account can export the captured images. Another way to access the images would be by using a PIX4Dcloud license. The images should be first uploaded to PIX4Dcloud and then downloaded.
Yes. You can only upload the images to the cloud for processing if you have the PIX4Dcloud or PIX4Dcloud Advanced license.
No. To process an accurate 3D model, you would need a valid PIX4Dcloud or PIX4Dmapper license.
PIX4Dcatch is available in the English language.
PIX4Dcatch is a free application for capturing data. However, you will need a valid PIX4Dcloud or PIX4Dmapper license to upload the dataset to PIX4Dcloud or process the project in PIX4Dmapper.
Pix4D customers and trial holders: For technical questions, contact our support team.
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